Marta Costa

6.1k total citations
22 papers, 1.0k citations indexed

About

Marta Costa is a scholar working on Cellular and Molecular Neuroscience, Genetics and Molecular Biology. According to data from OpenAlex, Marta Costa has authored 22 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cellular and Molecular Neuroscience, 7 papers in Genetics and 6 papers in Molecular Biology. Recurrent topics in Marta Costa's work include Neurobiology and Insect Physiology Research (15 papers), Insect and Arachnid Ecology and Behavior (6 papers) and Neural dynamics and brain function (5 papers). Marta Costa is often cited by papers focused on Neurobiology and Insect Physiology Research (15 papers), Insect and Arachnid Ecology and Behavior (6 papers) and Neural dynamics and brain function (5 papers). Marta Costa collaborates with scholars based in United Kingdom, United States and Germany. Marta Costa's co-authors include Gregory S.X.E. Jefferis, Philipp Schlegel, James D. Manton, Alexander Shakeel Bates, Aaron D. Ostrovsky, Steffen Prohaska, Davi D. Bock, Sridhar R. Jagannathan, David Osumi-Sutherland and Scott Waddell and has published in prestigious journals such as Nature, Cell and Neuron.

In The Last Decade

Marta Costa

22 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Marta Costa United Kingdom	16	767	381	260	209	142	22	1.0k
Nirmala Iyer United States	6	811 1.1×	372 1.0×	237 0.9×	304 1.5×	110 0.8×	9	1.1k
Romain Franconville United States	13	930 1.2×	411 1.1×	301 1.2×	138 0.7×	267 1.9×	14	1.1k
Casey M Schneider-Mizell United States	13	1.1k 1.4×	486 1.3×	291 1.1×	169 0.8×	230 1.6×	18	1.4k
Kazunori Shinomiya United States	10	740 1.0×	348 0.9×	294 1.1×	181 0.9×	98 0.7×	13	848
Philipp Schlegel United Kingdom	22	1.0k 1.4×	478 1.3×	320 1.2×	113 0.5×	152 1.1×	28	1.4k
Dinghui Yu United States	11	754 1.0×	350 0.9×	149 0.6×	273 1.3×	126 0.9×	13	932
Thomas Hendel Germany	9	984 1.3×	321 0.8×	188 0.7×	358 1.7×	185 1.3×	11	1.2k
Pavan P Ramdya Switzerland	19	878 1.1×	476 1.2×	323 1.2×	353 1.7×	128 0.9×	30	1.6k
Robert D. Roorda United States	6	717 0.9×	289 0.8×	212 0.8×	163 0.8×	66 0.5×	7	891

Countries citing papers authored by Marta Costa

Since Specialization

Citations

This map shows the geographic impact of Marta Costa's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marta Costa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marta Costa more than expected).

Fields of papers citing papers by Marta Costa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marta Costa. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marta Costa. The network helps show where Marta Costa may publish in the future.

Co-authorship network of co-authors of Marta Costa

This figure shows the co-authorship network connecting the top 25 collaborators of Marta Costa. A scholar is included among the top collaborators of Marta Costa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marta Costa. Marta Costa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Dorkenwald, Sven, Arie Matsliah, Amy Sterling, et al.. (2024). The fly connectome reveals a path to the effectome. Nature. 634(8032). 201–209. 9 indexed citations

Lin, Albert, Runzhe Yang, Sven Dorkenwald, et al.. (2024). Network statistics of the whole-brain connectome of Drosophila. Nature. 634(8032). 153–165. 35 indexed citations

Costa, Marta, Clare Pilgrim, Gillian Millburn, et al.. (2023). Virtual Fly Brain—An interactive atlas of the Drosophila nervous system. Frontiers in Physiology. 14. 1076533–1076533. 15 indexed citations

Galili, Dana S., Gregory S.X.E. Jefferis, & Marta Costa. (2022). Connectomics and the neural basis of behaviour. Current Opinion in Insect Science. 54. 100968–100968. 19 indexed citations

Schlegel, Philipp, Alexander Shakeel Bates, Tomke Stürner, et al.. (2021). Information flow, cell types and stereotypy in a full olfactory connectome. eLife. 10. 72 indexed citations

Marin, Elizabeth C., M. Theiß, Ruairí J.V. Roberts, et al.. (2020). Connectomics Analysis Reveals First-, Second-, and Third-Order Thermosensory and Hygrosensory Neurons in the Adult Drosophila Brain. Current Biology. 30(16). 3167–3182.e4. 61 indexed citations

Bates, Alexander Shakeel, Philipp Schlegel, Ruairí J.V. Roberts, et al.. (2020). Complete Connectomic Reconstruction of Olfactory Projection Neurons in the Fly Brain. Current Biology. 30(16). 3183–3199.e6. 106 indexed citations

Namiki, Shigehiro, J. Douglas Armstrong, Gwyneth M Card, et al.. (2020). A Systematic Nomenclature for the Drosophila Ventral Nerve Cord. Neuron. 107(6). 1071–1079.e2. 44 indexed citations

Otto, Nils, Markus William Pleijzier, Amelia Edmondson-Stait, et al.. (2020). Input Connectivity Reveals Additional Heterogeneity of Dopaminergic Reinforcement in Drosophila. Current Biology. 30(16). 3200–3211.e8. 44 indexed citations

10.

Backer, Jean‐François De, K.P. Siju, Marina E. Wosniack, et al.. (2019). A Neural Circuit Arbitrates between Persistence and Withdrawal in Hungry Drosophila. Neuron. 104(3). 544–558.e6. 71 indexed citations

11.

Felsenberg, Johannes, Pedro F. Jacob, Thomas Walker, et al.. (2018). Integration of Parallel Opposing Memories Underlies Memory Extinction. Cell. 175(3). 709–722.e15. 131 indexed citations

12.

Schlegel, Philipp, Marta Costa, & Gregory S.X.E. Jefferis. (2017). Learning from connectomics on the fly. Current Opinion in Insect Science. 24. 96–105. 30 indexed citations

13.

Costa, Marta, James D. Manton, Aaron D. Ostrovsky, Steffen Prohaska, & Gregory S.X.E. Jefferis. (2016). NBLAST: Rapid, Sensitive Comparison of Neuronal Structure and Construction of Neuron Family Databases. Neuron. 91(2). 293–311. 153 indexed citations

14.

Marygold, Steven J, Giulia Antonazzo, Helen Attrill, et al.. (2016). Exploring FlyBase Data Using QuickSearch. Current Protocols in Bioinformatics. 56(1). 1.31.1–1.31.23. 5 indexed citations

15.

Araya, Claudio, Marcel Tawk, Gemma C. Girdler, et al.. (2014). Mesoderm is required for coordinated cell movements within zebrafish neural plate in vivo. Neural Development. 9(1). 9–9. 24 indexed citations

16.

Costa, Marta, Manuel Calleja, Claudio R. Alonso, & Patricia Simpson. (2014). The bristle patterning genes hairy and extramacrochaetae regulate the development of structures required for flight in Diptera. Developmental Biology. 388(2). 205–215. 6 indexed citations

17.

Osumi-Sutherland, David, et al.. (2014). Virtual Fly Brain -Using OWL to support the mapping and genetic dissection of the Drosophila brain. Europe PMC (PubMed Central). 85–96. 4 indexed citations

18.

Costa, Marta, Simon Reeve, Gary Grumbling, & David Osumi-Sutherland. (2013). The Drosophila anatomy ontology. Journal of Biomedical Semantics. 4(1). 32–32. 51 indexed citations

19.

Costa, Marta, Patricia Simpson, & Claudio R. Alonso. (2009). 15-P026 The evolution of gene regulation in insects: A study on molecular repressors of bristle patterns in flies. Mechanisms of Development. 126. S255–S255. 2 indexed citations

20.

Costa, Marta, et al.. (2007). Bmp2 is required for migration but not for induction of neural crest cells in the mouse. Developmental Dynamics. 236(9). 2493–2501. 38 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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